D. Addington, J. Addington, and E. Maticka-tyndale, Assessing depression in schizophrenia: the Calgary Depression Scale, Br J Psychiatry, issue.22, pp.39-44, 1993.

C. A. Altar, L. W. Jurata, V. Charles, A. Lemire, P. Liu et al., Deficient Hippocampal Neuron Expression of Proteasome, Ubiquitin, and Mitochondrial Genes in Multiple Schizophrenia Cohorts, Biological Psychiatry, vol.58, issue.2, pp.85-96, 2005.
DOI : 10.1016/j.biopsych.2005.03.031

N. C. Andreasen, W. T. Carpenter, . Jr, J. M. Kane, R. A. Lasser et al., Remission in Schizophrenia: Proposed Criteria and Rationale for Consensus, American Journal of Psychiatry, vol.162, issue.3, 2005.
DOI : 10.1176/appi.ajp.162.3.441

D. Arion, T. Unger, D. A. Lewis, P. Levitt, and K. Mirnics, Molecular Evidence for Increased Expression of Genes Related to Immune and Chaperone Function in the Prefrontal Cortex in Schizophrenia, Biological Psychiatry, vol.62, issue.7, pp.711-721, 2007.
DOI : 10.1016/j.biopsych.2006.12.021

C. Aston, L. Jiang, and B. P. Sokolov, Transcriptional profiling reveals evidence for signaling and oligodendroglial abnormalities in the temporal cortex from patients with major depressive disorder, Molecular Psychiatry, vol.10, issue.3, pp.309-322, 2005.
DOI : 10.1038/sj.mp.4001565

P. Bardou, J. Mariette, F. Escudie, C. Djemiel, and C. Klopp, jvenn: an interactive Venn diagram viewer, BMC Bioinformatics, vol.15, issue.1, p.293, 2014.
DOI : 10.1093/bioinformatics/btu094
URL : http://doi.org/10.1186/1471-2105-15-293

M. R. Barnes, J. Huxley-jones, P. R. Maycox, M. Lennon, A. Thornber et al., Transcription and pathway analysis of the superior temporal cortex and anterior prefrontal cortex in schizophrenia, Journal of Neuroscience Research, vol.104, issue.8, pp.1218-1227, 2011.
DOI : 10.1073/pnas.0709695104

T. Barrett, S. E. Wilhite, P. Ledoux, C. Evangelista, I. F. Kim et al., NCBI GEO: archive for functional genomics data sets--update, Nucleic Acids Research, vol.41, issue.D1, pp.991-995
DOI : 10.1093/nar/gks1193
URL : http://doi.org/10.1093/nar/gks1193

W. Beumer, S. M. Gibney, R. C. Drexhage, L. Pont-lezica, J. Doorduin et al., The immune theory of psychiatric diseases: a key role for activated microglia and circulating monocytes, Journal of Leukocyte Biology, vol.92, issue.5, pp.959-975, 2012.
DOI : 10.1189/jlb.0212100

N. A. Bowden, R. J. Scott, and P. A. Tooney, Altered expression of regulator of G-protein signalling 4 (RGS4) mRNA in the superior temporal gyrus in schizophrenia, Schizophrenia Research, vol.89, issue.1-3, 2007.
DOI : 10.1016/j.schres.2006.09.003

L. C. Chang, H. M. Lin, E. Sibille, and G. C. Tseng, Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline, BMC Bioinformatics, vol.14, issue.1, p.368, 2013.
DOI : 10.1142/S0219720005001442
URL : http://doi.org/10.1186/1471-2105-14-368

C. Chen, L. Cheng, K. Grennan, F. Pibiri, C. Zhang et al., Two gene co-expression modules differentiate psychotics and controls, Molecular Psychiatry, vol.460, issue.12, pp.1308-1314, 2013.
DOI : 10.1093/schbul/sbj033
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018461

C. Chen, K. Grennan, J. Badner, D. Zhang, E. Gershon et al., Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods, PLoS ONE, vol.5, issue.0, p.17238, 2011.
DOI : 10.1371/journal.pone.0017238.s009

M. K. Chen and T. R. Guilarte, Translocator protein 18??kDa (TSPO): Molecular sensor of brain injury and repair, Pharmacology & Therapeutics, vol.118, issue.1, pp.1-17, 2008.
DOI : 10.1016/j.pharmthera.2007.12.004
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2453598

T. T. Chu, Y. Liu, and E. Kemether, Thalamic transcriptome screening in three psychiatric states, Journal of Human Genetics, vol.71, issue.11, pp.665-675, 2009.
DOI : 10.4065/77.10.1068

M. Comte, A. Cancel, J. T. Coull, D. Schon, E. Reynaud et al., Effect of trait anxiety on prefrontal control mechanisms during emotional conflict, Human Brain Mapping, vol.163, issue.6, pp.2207-2214, 2015.
DOI : 10.1176/ajp.2006.163.11.1960
URL : https://hal.archives-ouvertes.fr/hal-01158661

E. M. Conlon, J. J. Song, and A. Liu, Bayesian meta-analysis models for microarray data: a comparative study, BMC Bioinformatics, vol.8, issue.1, p.80, 2007.
DOI : 10.1186/1471-2105-8-80
URL : http://doi.org/10.1186/1471-2105-8-80

A. W. Corona, Y. Huang, J. C. O-'connor, R. Dantzer, K. W. Kelley et al., Fractalkine receptor (CX3CR1) deficiency sensitizes mice to the behavioral changes induced by lipopolysaccharide, Journal of Neuroinflammation, vol.7, issue.1, p.93, 2010.
DOI : 10.1186/1742-2094-7-93
URL : http://doi.org/10.1186/1742-2094-7-93

J. Costas, J. J. Suarez-rama, N. Carrera, E. Paz, M. Paramo et al., Role of DISC1 Interacting Proteins in Schizophrenia Risk from Genome-Wide Analysis of Missense SNPs, Annals of Human Genetics, vol.64, issue.7, pp.504-512, 2013.
DOI : 10.1016/j.neuron.2009.08.018

S. Cui, H. Sun, X. Gu, E. Lv, Y. Zhang et al., RETRACTED ARTICLE: Gene expression profiling analysis of locus coeruleus in idiopathic Parkinson???s disease by bioinformatics, Neurological Sciences, vol.16, issue.1177, pp.97-102, 2015.
DOI : 10.1186/1423-0127-16-63

S. De-jong, M. P. Boks, T. F. Fuller, E. Strengman, E. Janson et al., A Gene Co-Expression Network in Whole Blood of Schizophrenia Patients Is Independent of Antipsychotic-Use and Enriched for Brain-Expressed Genes, PLoS ONE, vol.27, issue.6, p.39498, 2012.
DOI : 10.1371/journal.pone.0039498.s006

R. C. Drexhage, L. Van-der-heul-nieuwenhuijsen, R. C. Padmos, N. Van-beveren, D. Cohen et al., Inflammatory gene expression in monocytes of patients with schizophrenia: overlap and difference with bipolar disorder. A study in naturalistically treated patients, The International Journal of Neuropsychopharmacology, vol.13, issue.10, pp.1369-1381, 2010.
DOI : 10.1017/S1461145710000799

R. Emsley, J. Rabinowitz, and M. Torreman, The factor structure for the Positive and Negative Syndrome Scale (PANSS) in recent-onset psychosis, Schizophrenia Research, vol.61, issue.1, pp.47-57, 2003.
DOI : 10.1016/S0920-9964(02)00302-X

H. A. Erdely, C. A. Tamminga, R. C. Roberts, and M. W. Vogel, Regional alterations in RGS4 protein in schizophrenia, Synapse, vol.297, issue.8, pp.472-479, 2006.
DOI : 10.1001/archpsyc.1992.01820080032005

B. Fellerhoff and R. Wank, Transporter associated with antigen processing and the chaperone tapasin: Are non-classical HLA genes keys to the pathogenesis of schizophrenia?, Medical Hypotheses, vol.72, issue.5, pp.535-538, 2009.
DOI : 10.1016/j.mehy.2008.12.036

S. G. Fillman, N. Cloonan, V. S. Catts, L. C. Miller, J. Wong et al., Increased inflammatory markers identified in the dorsolateral prefrontal cortex of individuals with schizophrenia, Molecular Psychiatry, vol.160, issue.2, pp.206-214, 2013.
DOI : 10.2174/157339510791823673

M. B. First, R. L. Spitzer, M. Gibbon, and J. B. Williams, Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, 2002.

E. J. Gardiner, M. J. Cairns, B. Liu, N. J. Beveridge, V. Carr et al., Gene expression analysis reveals schizophrenia-associated dysregulation of??immune pathways in peripheral blood mononuclear cells, Journal of Psychiatric Research, vol.47, issue.4, pp.425-437, 2013.
DOI : 10.1016/j.jpsychires.2012.11.007

L. Gautier, L. Cope, B. M. Bolstad, and R. A. Irizarry, affy--analysis of Affymetrix GeneChip data at the probe level, Bioinformatics, vol.20, issue.3, pp.307-315, 2004.
DOI : 10.1093/bioinformatics/btg405

R. C. Gentleman, V. J. Carey, D. M. Bates, B. Bolstad, M. Dettling et al., Bioconductor: open software development for computational biology and bioinformatics, Genome Biology, vol.5, issue.10, p.80, 2004.
DOI : 10.1186/gb-2004-5-10-r80

F. Ginhoux, M. Greter, M. Leboeuf, S. Nandi, P. See et al., Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophages, Science, vol.56, issue.2, pp.841-845, 2010.
DOI : 10.1016/S0301-0082(98)00035-5
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3719181

S. J. Glatt, I. P. Everall, W. S. Kremen, J. Corbeil, R. Sasik et al., Comparative gene expression analysis of blood and brain provides concurrent validation of SELENBP1 up-regulation in schizophrenia, Proceedings of the National Academy of Sciences, vol.55, issue.3, pp.15533-15538, 2005.
DOI : 10.1046/j.1365-2125.2003.01773.x

J. Gratten, N. R. Wray, M. C. Keller, and P. M. Visscher, Large-scale genomics unveils the genetic architecture of psychiatric disorders, Nature Neuroscience, vol.25, issue.6, pp.782-790, 2014.
DOI : 10.1016/j.tig.2009.10.004

H. Hagihara, K. Ohira, K. Takao, and T. Miyakawa, Transcriptomic evidence for immaturity of the prefrontal cortex in patients with schizophrenia, Molecular Brain, vol.7, issue.1, p.41, 2014.
DOI : 10.1093/nar/gkn923

B. W. Higgs, M. Elashoff, S. Richman, and B. Barci, An online database for brain disease research, BMC Genomics, vol.7, issue.1, p.70, 2006.
DOI : 10.1186/1471-2164-7-70

W. Huang-da, B. T. Sherman, and R. A. Lempicki, Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources, Nature Protocols, vol.99, issue.1, pp.44-57, 2009.
DOI : 10.6026/97320630002428

Y. Hwang, J. Kim, J. Y. Shin, J. I. Kim, J. S. Seo et al., Gene expression profiling by mRNA sequencing reveals increased expression of immune/inflammation-related genes in the hippocampus of individuals with schizophrenia, Translational Psychiatry, vol.38, issue.10, p.321, 2013.
DOI : 10.1016/S0140-6736(03)14289-4

C. Infante-duarte, A. Weber, J. Kratzschmar, T. Prozorovski, S. Pikol et al., Frequency of blood CX3CR1-positive natural killer cells correlates with disease activity in multiple sclerosis patients, The FASEB Journal, vol.19, issue.13, pp.1902-1904, 2005.
DOI : 10.1096/fj.05-3832fje

K. Iwamoto, M. Bundo, and T. Kato, Altered expression of mitochondria-related genes in postmortem brains of patients with bipolar disorder or schizophrenia, as revealed by large-scale DNA microarray analysis, Human Molecular Genetics, vol.14, issue.2, pp.241-253, 2005.
DOI : 10.1093/hmg/ddi022

K. Iwamoto and T. Kato, Gene Expression Profiling in Schizophrenia and Related Mental Disorders, The Neuroscientist, vol.21, issue.4, pp.349-361, 2006.
DOI : 10.1155/2005/275318

W. E. Johnson, C. Li, and A. Rabinovic, Adjusting batch effects in microarray expression data using empirical Bayes methods, Biostatistics, vol.8, issue.1, pp.118-127, 2007.
DOI : 10.1093/biostatistics/kxj037
URL : https://academic.oup.com/biostatistics/article-pdf/8/1/118/699564/kxj037.pdf

C. Kakiuchi, M. Ishiwata, S. Nanko, N. Ozaki, N. Iwata et al., Up-regulation of ADM and SEPX1 in the lymphoblastoid cells of patients in monozygotic twins CX3CR1 mRNA in schizophrenia 29 discordant for schizophrenia, Am J Med Genet B Neuropsychiatr Genet, vol.147, issue.5, pp.557-564, 2008.

W. S. Kang, J. K. Park, S. M. Lee, S. K. Kim, H. J. Park et al., Association between genetic polymorphisms of Toll-like receptor 2 (TLR2) and schizophrenia in the Korean population, Gene, vol.526, issue.2, pp.182-186, 2013.
DOI : 10.1016/j.gene.2013.04.058

S. R. Kay, A. Fiszbein, and L. A. Opler, The Positive and Negative Syndrome Scale (PANSS) for Schizophrenia, Schizophrenia Bulletin, vol.13, issue.2, pp.261-276, 1987.
DOI : 10.1093/schbul/13.2.261

N. Kumarasinghe, N. J. Beveridge, E. Gardiner, R. J. Scott, S. Yasawardene et al., Gene expression profiling in treatment-naive schizophrenia patients identifies abnormalities in biological pathways involving AKT1 that are corrected by antipsychotic medication, The International Journal of Neuropsychopharmacology, vol.16, issue.07, 2013.
DOI : 10.1017/S1461145713000035

N. Kumarasinghe, P. A. Tooney, and U. Schall, Finding the needle in the haystack: A review of microarray gene expression research into schizophrenia, Australian & New Zealand Journal of Psychiatry, vol.21, issue.1, pp.598-610, 2012.
DOI : 10.1155/2005/275318

P. Levitt, P. Ebert, K. Mirnics, V. L. Nimgaonkar, and D. A. Lewis, Making the Case for a Candidate Vulnerability Gene in Schizophrenia: Convergent Evidence for Regulator of G-Protein Signaling 4 (RGS4), Biological Psychiatry, vol.60, issue.6, pp.534-537, 2006.
DOI : 10.1016/j.biopsych.2006.04.028

P. Lichtenstein, B. H. Yip, C. Bjork, Y. Pawitan, T. D. Cannon et al., Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study, The Lancet, vol.373, issue.9659, pp.234-239, 2009.
DOI : 10.1016/S0140-6736(09)60072-6

C. Limatola and R. M. Ransohoff, Modulating neurotoxicity through CX3CL1/CX3CR1 signaling, Frontiers in Cellular Neuroscience, vol.115, issue.e1000527, pp.3-4, 2014.
DOI : 10.1016/S0165-5728(01)00259-4
URL : https://hal.archives-ouvertes.fr/pasteur-01182081

T. V. Lipina, F. N. Haque, A. Mcgirr, P. C. Boutros, T. Berger et al., Prophylactic Valproic Acid Treatment Prevents Schizophrenia-Related Behaviour in Disc1-L100P Mutant Mice, PLoS ONE, vol.5, issue.12, p.51562, 2012.
DOI : 10.1371/journal.pone.0051562.s008
URL : http://doi.org/10.1371/journal.pone.0051562

M. Logotheti, O. Papadodima, N. Venizelos, A. Chatziioannou, and F. Kolisis, A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis, The Scientific World Journal, vol.75, issue.2, p.685917, 2013.
DOI : 10.1016/j.pneurobio.2005.04.005

F. Lopez, J. Textoris, A. Bergon, G. Didier, E. Remy et al., TranscriptomeBrowser: A Powerful and Flexible Toolbox to Explore Productively the Transcriptional Landscape of the Gene Expression Omnibus Database, PLoS ONE, vol.5, issue.12, p.4001, 2008.
DOI : 10.1371/journal.pone.0004001.s009

F. Mamdani, M. V. Martin, T. Lencz, B. Rollins, R. G. Delbert et al., Coding and Noncoding Gene Expression Biomarkers in Mood Disorders and Schizophrenia, Disease Markers, vol.265, issue.5181, pp.11-21, 2013.
DOI : 10.1126/science.8091226
URL : http://doi.org/10.1155/2013/748095

P. R. Maycox, F. Kelly, A. Taylor, S. Bates, J. Reid et al., Analysis of gene expression in two large schizophrenia cohorts identifies multiple changes associated with nerve terminal function, Molecular Psychiatry, vol.16, issue.12, pp.1083-1094, 2009.
DOI : 10.1038/sj.mp.4001558

D. P. Mckernan, U. Dennison, G. Gaszner, J. F. Cryan, and T. G. Dinan, Enhanced peripheral toll-like receptor responses in psychosis: further evidence of a pro-inflammatory phenotype, Translational Psychiatry, vol.20, issue.8, p.36, 2011.
DOI : 10.1016/j.bbi.2006.02.002

F. A. Middleton, C. N. Pato, K. L. Gentile, L. Mcgann, A. M. Brown et al., Gene expression analysis of peripheral blood leukocytes from discordant sib-pairs with schizophrenia and bipolar disorder reveals points of convergence between genetic and CX3CR1 mRNA in schizophrenia 31, 2005.

M. Mistry, J. Gillis, and P. Pavlidis, Genome-wide expression profiling of schizophrenia using a large combined cohort, Molecular Psychiatry, vol.149, issue.2, pp.215-225, 2013.
DOI : 10.1385/MN:34:2:109

M. Mistry, J. Gillis, and P. Pavlidis, Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls, BMC Neuroscience, vol.14, issue.1, 2013.
DOI : 10.1186/1471-2105-6-269

A. C. Mitchell and K. Mirnics, Gene expression profiling of the brain: Pondering facts and fiction, Neurobiology of Disease, vol.45, issue.1, pp.3-7, 2012.
DOI : 10.1016/j.nbd.2011.06.001

R. I. Nurieva, Y. Chung, G. J. Martinez, X. O. Yang, S. Tanaka et al., Bcl6 Mediates the Development of T Follicular Helper Cells, Science, vol.10, issue.4, pp.1001-1005, 2009.
DOI : 10.1038/ni.1715

J. Perez-santiago, R. Diez-alarcia, L. F. Callado, J. X. Zhang, G. Chana et al., A combined analysis of microarray gene expression studies of the human prefrontal cortex identifies genes implicated in schizophrenia, Journal of Psychiatric Research, vol.46, issue.11, pp.1464-1474, 2012.
DOI : 10.1016/j.jpsychires.2012.08.005

J. H. Phan, A. N. Young, and M. D. Wang, Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction, The Scientific World Journal, vol.16, issue.6, p.989637, 2012.
DOI : 10.1016/j.canlet.2004.11.052
URL : http://doi.org/10.1100/2012/989637

J. G. Pouget, V. F. Goncalves, E. L. Nurmi, C. , P. L. Mallya et al., variants in schizophrenia and antipsychotic treatment outcomes, Pharmacogenomics, vol.16, issue.1, pp.5-22, 2015.
DOI : 10.2217/pgs.14.158

S. Prabakaran, J. E. Swatton, M. M. Ryan, S. J. Huffaker, J. T. Huang et al., Mitochondrial dysfunction in schizophrenia: evidence for compromised brain metabolism and oxidative stress, Mol Psychiatry, vol.9, issue.643, pp.684-697, 2004.
DOI : 10.1038/sj.mp.4001511

M. I. Mccarthy, C. C. Spencer, E. Bramon, A. P. Corvin, M. C. O-'donovan et al., Genome-wide association analysis identifies 13 new risk loci for schizophrenia, Nat Genet, vol.45, issue.10, pp.1150-1159, 2013.

J. T. Rogers, J. M. Morganti, A. D. Bachstetter, C. E. Hudson, M. M. Peters et al., CX3CR1 Deficiency Leads to Impairment of Hippocampal Cognitive Function and Synaptic Plasticity, Journal of Neuroscience, vol.31, issue.45, pp.31-16241, 2011.
DOI : 10.1523/JNEUROSCI.3667-11.2011

R. Rupprecht, V. Papadopoulos, G. Rammes, T. C. Baghai, J. Fan et al., Translocator protein (18 kDa) (TSPO) as a therapeutic target for neurological and psychiatric disorders, Nature Reviews Drug Discovery, vol.43, issue.12, pp.971-988, 2010.
DOI : 10.1113/jphysiol.1996.sp021806

G. Rustici, N. Kolesnikov, M. Brandizi, T. Burdett, M. Dylag et al., ArrayExpress update--trends in database growth and links to data analysis tools, Nucleic Acids Research, vol.41, issue.D1, pp.987-990
DOI : 10.1093/nar/gks1174
URL : http://doi.org/10.1093/nar/gks1174

P. Saetre, L. Emilsson, E. Axelsson, J. Kreuger, E. Lindholm et al., Inflammation-related genes up-regulated in schizophrenia brains, BMC Psychiatry, vol.64, issue.6, p.46, 2007.
DOI : 10.4088/JCP.v64n0618e
URL : http://doi.org/10.1186/1471-244x-7-46

J. Sainz, I. Mata, J. Barrera, R. Perez-iglesias, I. Varela et al., Inflammatory and immune response genes have significantly altered expression in schizophrenia, Molecular Psychiatry, vol.18, issue.10, pp.1056-1057, 2013.
DOI : 10.1016/j.mehy.2009.09.040
URL : https://digital.csic.es/bitstream/10261/78751/1/accesoRestringido.pdf

A. R. Sanders, H. H. Goring, J. Duan, E. I. Drigalenko, W. Moy et al., Transcriptome study of differential expression in schizophrenia, Human Molecular Genetics, vol.22, issue.24, 2013.
DOI : 10.1093/hmg/ddt350

A. Schmitt, F. Leonardi-essmann, P. F. Durrenberger, E. Parlapani, T. Schneider-axmann et al., Regulation of immune-modulatory genes in left superior temporal cortex of schizophrenia patients: a genome-wide microarray study, The World Journal of Biological Psychiatry, vol.81, issue.6, pp.201-215, 2011.
DOI : 10.1002/jnr.20597

C. Schulz, E. Gomez-perdiguero, L. Chorro, H. Szabo-rogers, N. Cagnard et al., A Lineage of Myeloid Cells Independent of Myb and Hematopoietic Stem Cells, Science, vol.248, issue.1, pp.86-90, 2012.
DOI : 10.1006/excr.1999.4401

C. Schurmann, K. Heim, A. Schillert, S. Blankenberg, M. Carstensen et al., Analyzing Illumina Gene Expression Microarray Data from Different Tissues: Methodological Aspects of Data Analysis in the MetaXpress Consortium, PLoS ONE, vol.38, issue.12, p.50938, 2012.
DOI : 10.1371/journal.pone.0050938.s012

J. Seita, D. Sahoo, D. J. Rossi, D. Bhattacharya, T. Serwold et al., Gene Expression Commons: An Open Platform for Absolute Gene Expression Profiling, PLoS ONE, vol.1, issue.7, p.40321, 2012.
DOI : 10.1371/journal.pone.0040321.t005
URL : http://doi.org/10.1371/journal.pone.0040321

G. K. Smyth, R. Gentleman, V. Carey, S. Dudoit, R. Irizarry et al., limma: Linear Models for Microarray Data, Bioinformatics and Computational Biology Solutions Using R and Bioconductor, pp.397-420, 2005.
DOI : 10.1007/0-387-29362-0_23
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.2271

J. R. Stevens and R. W. Doerge, Combining Affymetrix microarray results, BMC Bioinformatics, vol.6, issue.57, 2005.

J. D. Storey and R. Tibshirani, Statistical significance for genomewide studies, Proceedings of the National Academy of Sciences, vol.23, issue.1, pp.9440-9445, 2003.
DOI : 10.1002/gepi.1124
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC170937

P. F. Sullivan, K. S. Kendler, and M. C. Neale, Schizophrenia as a Complex Trait, Archives of General Psychiatry, vol.60, issue.12, pp.1187-1192, 2003.
DOI : 10.1001/archpsyc.60.12.1187
URL : http://archpsyc.jamanetwork.com/data/journals/psych/5198/yoa20885.pdf

S. Tian and M. Suarez-farinas, Multi-TGDR: A Regularization Method for Multi-Class Classification in Microarray Experiments, PLoS ONE, vol.23, issue.11, p.78302, 2013.
DOI : 10.1371/journal.pone.0078302.t007

L. Tiberi, J. Van-den-ameele, J. Dimidschstein, J. Piccirilli, D. Gall et al., BCL6 controls neurogenesis through Sirt1-dependent epigenetic repression of selective Notch targets, Nature Neuroscience, vol.171, issue.12, pp.1627-1635, 2012.
DOI : 10.1038/nature03651

A. Torkamani, B. Dean, N. J. Schork, and E. A. Thomas, Coexpression network analysis of neural tissue reveals perturbations in developmental processes in schizophrenia, Genome Research, vol.20, issue.4, 2010.
DOI : 10.1101/gr.101956.109

A. K. Turnbull, R. R. Kitchen, A. A. Larionov, L. Renshaw, J. M. Dixon et al., Direct integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis, BMC Medical Genomics, vol.38, issue.4, p.35, 2012.
DOI : 10.2307/2529876

N. J. Van-beveren, G. H. Buitendijk, S. Swagemakers, L. C. Krab, C. Roder et al., Marked Reduction of AKT1 Expression and Deregulation of AKT1-Associated Pathways in Peripheral Blood Mononuclear Cells of Schizophrenia Patients, PLoS ONE, vol.14, issue.3, pp.32618-32621, 2012.
DOI : 10.1371/journal.pone.0032618.s002

P. Warnat, R. Eils, and B. Brors, Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes, BMC Bioinformatics, vol.6, issue.1, p.265, 2005.
DOI : 10.1186/1471-2105-6-265

C. H. Woelk, A. Singhania, J. Perez-santiago, S. J. Glatt, and M. T. Tsuang, The Utility of Gene Expression in Blood Cells for Diagnosing Neuropsychiatric Disorders, Int Rev Neurobiol, vol.101, pp.41-63, 2011.
DOI : 10.1016/B978-0-12-387718-5.00003-1

S. W. Woods, Chlorpromazine Equivalent Doses for the Newer Atypical Antipsychotics, The Journal of Clinical Psychiatry, vol.64, issue.6, pp.663-667, 2003.
DOI : 10.4088/JCP.v64n0607

J. Xu, J. Sun, J. Chen, L. Wang, A. Li et al., RNA-Seq analysis implicates dysregulation of the immune system in schizophrenia, BMC Genomics, vol.13, issue.Suppl 8, p.2, 2012.
DOI : 10.1038/nbt.1910

J. Yang, D. Goetz, J. Y. Li, W. Wang, K. Mori et al., An Iron Delivery Pathway Mediated by a Lipocalin, Molecular Cell, vol.10, issue.5, pp.1045-1056, 2002.
DOI : 10.1016/S1097-2765(02)00710-4
URL : http://doi.org/10.1016/s1097-2765(02)00710-4

J. Yang, J. Huang, T. K. Chatterjee, E. Twait, and R. A. Fisher, Transcription, Journal of Biological Chemistry, vol.18, issue.39, pp.29760-29769, 2010.
DOI : 10.1523/JNEUROSCI.5112-06.2007
URL : https://hal.archives-ouvertes.fr/hal-00848882

S. Zhan, N. Vazquez, S. Zhan, F. B. Wientjes, M. L. Budarf et al., Genomic structure, chromosomal localization, start of transcription, and tissue expression of the human p40-phox, a new component of the nicotinamide adenine dinucleotide phosphate-oxidase complex, Blood, vol.88, issue.7, pp.2714-2721, 1996.